-----------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/patricktucker/Documents/log_results_gpt.log
  log type:  text
 opened on:  14 Jan 2021, 15:40:21

. use "/Users/patricktucker/Documents/gpt_jop_replication.dta"

. 
. 
. sort responseid

. 
. gen dummy=_n

. 
. *******Key for variables

. 
. ****control_rating: Legislator Thermometer for Replication (Table 1, column 1) from 0 to 100

. 
. ****grant_draw: Size of grant announced in vignette (in millions)

. 
. ****pid_match: Trichotomous Variable indicating a partisan match with subject and legislator in vignette, -1=Opposite Party, 0=Independent su
> bject, 1=Match

. 
. ****pid_three: Respondent Party 0=Independent; 1=Democrat; 2=Republican

. 
. ****college_grad: 1=College Graduate; 0=No College Degree

. 
. ****ideo7=Respondent ideology. 1=Extremely Liberal; 4=Moderate; 7=Extremely Conservative

. 
. ****treatment_rating1_1:Legislator Thermometer for Extension, Round 1 (Appendix Table 1, column 1) from 0 to 100

. 
. ****context1_num: First round context of grant variable that provides the size of the grant relative to the average grant continuous scale fr
> om .5 to 3

. 
. ****context1_3: First round context of grant variable that provides the size of the grant relative to the average grant; 0=same as average; 1
> =greater than average; 2=less than average

. 
. ****wave=round in which rating was provided

. 
. ****experiment_rating: Legislator Thermometer for Extension, from 0 to 100

. 
. ****experiment_context:Context of grant variable that provides the size of the grant relative to the average grant continuous scale from .5 t
> o 3

. 
. ****less_context: 1=grant less than average; 0=otherwise

. 
. ****equal_context: 1=grant equal to average; 0=otherwise

. 
. ****more_context: 1=grant greater than average; 0=otherwise

. 
. ***balance checks

. 
. 
. 
. 
. 
. 
. 
. 
. 
. ****Table 1, column 1

. 
. reg control_rating c.grant_draw c.pid_match

      Source |       SS       df       MS              Number of obs =     751
-------------+------------------------------           F(  2,   748) =    5.29
       Model |  5379.24832     2  2689.62416           Prob > F      =  0.0052
    Residual |  379959.021   748  507.966605           R-squared     =  0.0140
-------------+------------------------------           Adj R-squared =  0.0113
       Total |  385338.269   750  513.784359           Root MSE      =  22.538

------------------------------------------------------------------------------
control_ra~1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |   -.479751    .291359    -1.65   0.100     -1.05173    .0922278
   pid_match |   2.803448   .9870078     2.84   0.005      .865813    4.741083
       _cons |   71.30695   1.683493    42.36   0.000     68.00202    74.61189
------------------------------------------------------------------------------

. 
. *outreg2 using "~\Table1.doc", word replace

. 
. generate in_t1_c1 = e(sample)

. 
. ******Summary statistics for in sample cases for Table 1, column 1

. 
. sum control_rating grant_draw pid_match if in_t1_c1==1

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
control_ra~1 |       751    68.73502    22.66681          0        100
  grant_draw |       751    5.034174    2.825215   .0135013   9.997826
   pid_match |       751   -.0559254    .8339873         -1          1

. 
. 
. 
. 
. 
. *****Recode Context Treatments to numeric

. 
. gen context1_num=.
(1613 missing values generated)

. 
. replace context1_num=1 if context_one=="the same amount as"
(188 real changes made)

. 
. replace context1_num=.5 if context_one=="50% less than"
(197 real changes made)

. 
. replace context1_num=.75 if context_one=="25% less than"
(161 real changes made)

. 
. replace context1_num=.95 if context_one=="5% less than"
(162 real changes made)

. 
. replace context1_num=1.05 if context_one=="5% more than"
(164 real changes made)

. 
. replace context1_num=1.25 if context_one=="25% more than"
(159 real changes made)

. 
. replace context1_num=1.5 if context_one=="50% more than"
(154 real changes made)

. 
. replace context1_num=2 if context_one=="100% more than"
(201 real changes made)

. 
. replace context1_num=3 if context_one=="200% more than"
(185 real changes made)

. 
. 
. 
. gen context2_num=.
(1613 missing values generated)

. 
. replace context2_num=1 if context_two=="the same amount as"
(170 real changes made)

. 
. replace context2_num=.5 if context_two=="50% less than"
(164 real changes made)

. 
. replace context2_num=.75 if context_two=="25% less than"
(172 real changes made)

. 
. replace context2_num=.95 if context_two=="5% less than"
(149 real changes made)

. 
. replace context2_num=1.05 if context_two=="5% more than"
(184 real changes made)

. 
. replace context2_num=1.25 if context_two=="25% more than"
(185 real changes made)

. 
. replace context2_num=1.5 if context_two=="50% more than"
(198 real changes made)

. 
. replace context2_num=2 if context_two=="100% more than"
(167 real changes made)

. 
. replace context2_num=3 if context_two=="200% more than"
(182 real changes made)

. 
. 
. 
. gen context3_num=.
(1613 missing values generated)

. 
. replace context3_num=1 if context_three=="the same amount as"
(153 real changes made)

. 
. replace context3_num=.5 if context_three=="50% less than"
(151 real changes made)

. 
. replace context3_num=.75 if context_three=="25% less than"
(186 real changes made)

. 
. replace context3_num=.95 if context_three=="5% less than"
(200 real changes made)

. 
. replace context3_num=1.05 if context_three=="5% more than"
(179 real changes made)

. 
. replace context3_num=1.25 if context_three=="25% more than"
(176 real changes made)

. 
. replace context3_num=1.5 if context_three=="50% more than"
(186 real changes made)

. 
. replace context3_num=2 if context_three=="100% more than"
(161 real changes made)

. 
. replace context3_num=3 if context_three=="200% more than"
(179 real changes made)

. 
. 
. 
. *****Demographics

. 
. gen pid_three=.
(1613 missing values generated)

. 
. replace pid_three=1 if pid1=="Democrat"
(690 real changes made)

. 
. replace pid_three=2 if pid1=="Republican"
(414 real changes made)

. 
. replace pid_three=0 if pid1=="Independent" | pid1=="No preference" | pid1=="Other"
(463 real changes made)

. 
. 
. 
. gen college_grad=.
(1613 missing values generated)

. 
. replace college_grad=1 if education=="4 year college degree" | education=="Post-graduate degree"
(924 real changes made)

. 
. replace college_grad=0 if education=="Some college" | education=="2 year college degree" | education=="High school degree or equivalent" | ed
> ucation=="Less than high school"
(646 real changes made)

. 
. 
. 
. gen ideo7=.
(1613 missing values generated)

. 
. replace ideo7=1 if ideology=="Extremely liberal"
(188 real changes made)

. 
. replace ideo7=2 if ideology=="Liberal"
(364 real changes made)

. 
. replace ideo7=3 if ideology=="Slightly liberal"
(250 real changes made)

. 
. replace ideo7=7 if ideology=="Extremely conservative"
(84 real changes made)

. 
. replace ideo7=6 if ideology=="Conservative"
(232 real changes made)

. 
. replace ideo7=5 if ideology=="Slightly conservative"
(149 real changes made)

. 
. replace ideo7=4 if ideology=="Moderate or middle of the road"
(289 real changes made)

. 
. 
. 
. ***Categorical Context

. 
. gen context1_3=.
(1613 missing values generated)

. 
. 
. 
. replace context1_3=1 if context1_num>1
(905 real changes made)

. 
. replace context1_3=2 if context1_num<1
(520 real changes made)

. 
. replace context1_3=0 if context1_num==1
(188 real changes made)

. 
. 
. 
. gen context2_3=.
(1613 missing values generated)

. 
. 
. 
. replace context2_3=1 if context2_num>1
(958 real changes made)

. 
. replace context2_3=2 if context2_num<1
(485 real changes made)

. 
. replace context2_3=0 if context2_num==1
(170 real changes made)

. 
. 
. 
. gen context3_3=.
(1613 missing values generated)

. 
. 
. 
. replace context3_3=1 if context3_num>1
(923 real changes made)

. 
. replace context3_3=2 if context3_num<1
(537 real changes made)

. 
. replace context3_3=0 if context3_num==1
(153 real changes made)

. 
. 
. 
. 
. 
. ***Just first draw

. 
. ***Appendix Table A5

. 
. ***Column 1

. 
. reg treatment_rating1_1 grant_draw  context1_num pid_match

      Source |       SS       df       MS              Number of obs =     815
-------------+------------------------------           F(  3,   811) =    4.70
       Model |  6751.77548     3  2250.59183           Prob > F      =  0.0029
    Residual |   388233.64   811  478.709791           R-squared     =  0.0171
-------------+------------------------------           Adj R-squared =  0.0135
       Total |  394985.416   814  485.240069           Root MSE      =  21.879

------------------------------------------------------------------------------
treatmen~1_1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |  -.2432928   .2585331    -0.94   0.347    -.7507658    .2641801
context1_num |   1.535512   1.015267     1.51   0.131    -.4573475    3.528372
   pid_match |   3.075197   .9101253     3.38   0.001     1.288718    4.861675
       _cons |   66.54845   2.002481    33.23   0.000     62.61779     70.4791
------------------------------------------------------------------------------

. 
. **Column 2

. 
. reg treatment_rating1_1 grant_draw i.context1_3 pid_match

      Source |       SS       df       MS              Number of obs =     815
-------------+------------------------------           F(  4,   810) =    5.66
       Model |  10740.7892     4  2685.19729           Prob > F      =  0.0002
    Residual |  384244.627   810  474.376082           R-squared     =  0.0272
-------------+------------------------------           Adj R-squared =  0.0224
       Total |  394985.416   814  485.240069           Root MSE      =   21.78

------------------------------------------------------------------------------
treatmen~1_1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |  -.2371399   .2573604    -0.92   0.357    -.7423118     .268032
             |
  context1_3 |
          1  |  -2.679438   2.377082    -1.13   0.260    -7.345405     1.98653
          2  |  -7.149413   2.512463    -2.85   0.005    -12.08112   -2.217707
             |
   pid_match |   3.160798   .9081499     3.48   0.001     1.378193    4.943402
       _cons |    72.4138    2.46616    29.36   0.000     67.57298    77.25462
------------------------------------------------------------------------------

. 
. generate in_ta1_c = e(sample)

. 
. ******Summary statistics for in sample cases for Appendix Table

. 
. sum treatment_rating1_1 context1_num pid_match context1_3 if in_ta1_c==1

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
treatmen~1_1 |       815    67.47975    22.02817          0        100
context1_num |       815    1.349755    .7557884         .5          3
   pid_match |       815    .0134969    .8432792         -1          1
  context1_3 |       815    1.204908     .647031          0          2

. 
. 
. 
. reg treatment_rating1_1  i.context1_3  if context1_3!=0

      Source |       SS       df       MS              Number of obs =     712
-------------+------------------------------           F(  1,   710) =    5.58
       Model |  2779.33126     1  2779.33126           Prob > F      =  0.0184
    Residual |  353404.094   710  497.752245           R-squared     =  0.0078
-------------+------------------------------           Adj R-squared =  0.0064
       Total |  356183.426   711  500.961217           Root MSE      =   22.31

------------------------------------------------------------------------------
treatmen~1_1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
2.context1_3 |  -4.069174   1.722038    -2.36   0.018    -7.450069   -.6882782
       _cons |   68.46032   1.062398    64.44   0.000      66.3745    70.54614
------------------------------------------------------------------------------

. 
. 
. 
. 
. 
. gen pid7=.
(1613 missing values generated)

. 
. replace pid7=1 if pid1=="Democrat" & pid_dem=="Strong Democrat"
(394 real changes made)

. 
. replace pid7=2 if pid1=="Democrat" & pid_dem=="Not a very strong Democrat"
(296 real changes made)

. 
. replace pid7=3 if pid1=="Independent" & pid_lean=="Democratic"
(160 real changes made)

. 
. replace pid7=3 if pid1=="No preference" & pid_lean=="Democratic"
(11 real changes made)

. 
. replace pid7=3 if pid1=="Other" & pid_lean=="Democratic"
(8 real changes made)

. 
. replace pid7=4 if pid1=="Other" & pid_lean=="No preference"
(10 real changes made)

. 
. replace pid7=4 if pid1=="No preference" & pid_lean=="No preference"
(27 real changes made)

. 
. replace pid7=4 if pid1=="Independent" & pid_lean=="No preference"
(136 real changes made)

. 
. replace pid7=5 if pid1=="Independent" & pid_lean=="Republican"
(96 real changes made)

. 
. replace pid7=5 if pid1=="No preference" & pid_lean=="Republican"
(7 real changes made)

. 
. replace pid7=5 if pid1=="Other" & pid_lean=="Republican"
(3 real changes made)

. 
. replace pid7=6 if pid1=="Republican" & pid_rep=="Not a very strong Republican"
(191 real changes made)

. 
. replace pid7=7 if pid1=="Republican" & pid_rep=="Strong Republican"
(223 real changes made)

. 
. 
. 
. gen white=0

. 
. replace white=1 if race=="White"
(1134 real changes made)

. 
. replace white=. if race==""
(42 real changes made, 42 to missing)

. 
. 
. 
. gen inc_num=.
(1613 missing values generated)

. 
. replace inc_num=1 if income=="$30,000 or less"
(301 real changes made)

. 
. replace inc_num=2 if income=="More than $30,000 and less than $60,000"
(507 real changes made)

. 
. replace inc_num=3 if income=="More than $60,000 and less than $90,000"
(383 real changes made)

. 
. replace inc_num=4 if income=="More than $90,000 and less than $120,000"
(194 real changes made)

. 
. replace inc_num=5 if income=="More than $120,000 and less than $150,000"
(85 real changes made)

. 
. replace inc_num=6 if income=="More than $150,000"
(61 real changes made)

. 
. 
. 
. gen female=.
(1613 missing values generated)

. 
. replace female=1 if sex=="Female"
(718 real changes made)

. 
. replace female=0 if sex=="Male"
(851 real changes made)

. 
. 
. 
. 
. 
. ***Table A16

. 
. 
. 
. foreach x of varlist ideo7 college_grad pid7 white inc_num female{
  2. 
. 
. 
. corr grant_draw  `x'
  3. 
. }
(obs=1556)

             | grant_~w    ideo7
-------------+------------------
  grant_draw |   1.0000
       ideo7 |   0.0170   1.0000

(obs=1570)

             | grant_~w colleg~d
-------------+------------------
  grant_draw |   1.0000
college_grad |   0.0002   1.0000

(obs=1562)

             | grant_~w     pid7
-------------+------------------
  grant_draw |   1.0000
        pid7 |   0.0156   1.0000

(obs=1571)

             | grant_~w    white
-------------+------------------
  grant_draw |   1.0000
       white |   0.0017   1.0000

(obs=1531)

             | grant_~w  inc_num
-------------+------------------
  grant_draw |   1.0000
     inc_num |   0.0242   1.0000

(obs=1569)

             | grant_~w   female
-------------+------------------
  grant_draw |   1.0000
      female |  -0.0163   1.0000


. 
. 
. 
. foreach x of varlist ideo7 college_grad pid7 white inc_num female{
  2. 
. 
. 
. corr context1_num  `x'
  3. 
. }
(obs=1556)

             | co~1_num    ideo7
-------------+------------------
context1_num |   1.0000
       ideo7 |   0.0149   1.0000

(obs=1570)

             | co~1_num colleg~d
-------------+------------------
context1_num |   1.0000
college_grad |  -0.0292   1.0000

(obs=1562)

             | co~1_num     pid7
-------------+------------------
context1_num |   1.0000
        pid7 |  -0.0042   1.0000

(obs=1571)

             | co~1_num    white
-------------+------------------
context1_num |   1.0000
       white |   0.0309   1.0000

(obs=1531)

             | co~1_num  inc_num
-------------+------------------
context1_num |   1.0000
     inc_num |  -0.0246   1.0000

(obs=1569)

             | co~1_num   female
-------------+------------------
context1_num |   1.0000
      female |   0.0422   1.0000


. 
. 
. 
. 
. 
. foreach x of varlist ideo7 college_grad pid7 white inc_num female{
  2. 
. 
. 
. mean   `x' if grant_draw<4.85
  3. 
. }

Mean estimation                     Number of obs    =     775

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       ideo7 |   3.525161   .0638471      3.399827    3.650495
--------------------------------------------------------------

Mean estimation                     Number of obs    =     783

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
college_grad |   .5823755   .0176356      .5477567    .6169943
--------------------------------------------------------------

Mean estimation                     Number of obs    =     780

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
        pid7 |   3.415385    .078028      3.262215    3.568555
--------------------------------------------------------------

Mean estimation                     Number of obs    =     784

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       white |   .7270408   .0159202      .6957896    .7582921
--------------------------------------------------------------

Mean estimation                     Number of obs    =     766

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
     inc_num |     2.5953   .0470742       2.50289     2.68771
--------------------------------------------------------------

Mean estimation                     Number of obs    =     783

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
      female |   .4661558    .017839      .4311379    .5011737
--------------------------------------------------------------

. 
. 
. 
. foreach x of varlist ideo7 college_grad pid7 white inc_num female{
  2. 
. 
. 
. mean   `x' if grant_draw>4.85
  3. 
. }

Mean estimation                     Number of obs    =     781

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       ideo7 |   3.604353   .0639171      3.478883    3.729823
--------------------------------------------------------------

Mean estimation                     Number of obs    =     787

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
college_grad |   .5946633   .0175119      .5602877    .6290388
--------------------------------------------------------------

Mean estimation                     Number of obs    =     782

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
        pid7 |   3.565217   .0775412      3.413003    3.717431
--------------------------------------------------------------

Mean estimation                     Number of obs    =     787

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       white |   .7166455   .0160733      .6850937    .7481972
--------------------------------------------------------------

Mean estimation                     Number of obs    =     765

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
     inc_num |   2.670588   .0469256       2.57847    2.762707
--------------------------------------------------------------

Mean estimation                     Number of obs    =     786

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
      female |   .4491094   .0177531      .4142603    .4839586
--------------------------------------------------------------

. 
. 
. 
. foreach x of varlist ideo7 college_grad pid7 white inc_num female{
  2. 
. 
. 
. mean   `x' if context1_num<1.05
  3. 
. }

Mean estimation                     Number of obs    =     866

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       ideo7 |   3.549654   .0605718      3.430769    3.668538
--------------------------------------------------------------

Mean estimation                     Number of obs    =     872

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
college_grad |   .6055046   .0165604      .5730016    .6380075
--------------------------------------------------------------

Mean estimation                     Number of obs    =     866

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
        pid7 |   3.510393   .0745606      3.364052    3.656734
--------------------------------------------------------------

Mean estimation                     Number of obs    =     872

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       white |   .7052752   .0154482      .6749551    .7355953
--------------------------------------------------------------

Mean estimation                     Number of obs    =     847

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
     inc_num |   2.663518   .0450939      2.575009    2.752027
--------------------------------------------------------------

Mean estimation                     Number of obs    =     871

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
      female |   .4362801   .0168134      .4032806    .4692796
--------------------------------------------------------------

. 
. 
. 
. foreach x of varlist ideo7 college_grad pid7 white inc_num female{
  2. 
. 
. 
. mean   `x' if context1_num>1.05
  3. 
. }

Mean estimation                     Number of obs    =     690

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       ideo7 |   3.584058   .0678348       3.45087    3.717246
--------------------------------------------------------------

Mean estimation                     Number of obs    =     698

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
college_grad |   .5673352   .0187663      .5304899    .6041805
--------------------------------------------------------------

Mean estimation                     Number of obs    =     696

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
        pid7 |   3.465517   .0815277      3.305447    3.625587
--------------------------------------------------------------

Mean estimation                     Number of obs    =     699

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       white |   .7424893   .0165506      .7099942    .7749843
--------------------------------------------------------------

Mean estimation                     Number of obs    =     684

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
     inc_num |   2.595029   .0491558      2.498515    2.691544
--------------------------------------------------------------

Mean estimation                     Number of obs    =     698

--------------------------------------------------------------
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
      female |   .4842407   .0189294      .4470751    .5214062
--------------------------------------------------------------

. 
. 
. 
. 
. 
. gen pid_leg=.
(1613 missing values generated)

. 
. replace pid_leg=1 if pid=="D"
(766 real changes made)

. 
. replace pid_leg=2 if pid=="R"
(805 real changes made)

. 
. ****Table A10 Column 1

. 
. reg control_rating c.grant_draw i.pid_three##i.pid_leg

      Source |       SS       df       MS              Number of obs =     751
-------------+------------------------------           F(  6,   744) =    7.84
       Model |  22924.1411     6  3820.69019           Prob > F      =  0.0000
    Residual |  362414.128   744  487.115763           R-squared     =  0.0595
-------------+------------------------------           Adj R-squared =  0.0519
       Total |  385338.269   750  513.784359           Root MSE      =  22.071

------------------------------------------------------------------------------
control_ra~1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |  -.3762019   .2865881    -1.31   0.190    -.9388194    .1864156
             |
   pid_three |
          1  |    2.63291   2.772628     0.95   0.343    -2.810196    8.076015
          2  |   7.076746   3.082725     2.30   0.022     1.024871    13.12862
             |
   2.pid_leg |  -4.999859   2.938094    -1.70   0.089     -10.7678    .7680827
             |
   pid_three#|
     pid_leg |
        1 2  |  -1.276465   3.812401    -0.33   0.738    -8.760809    6.207879
        2 2  |   9.084448   4.369345     2.08   0.038     .5067351    17.66216
             |
       _cons |    69.5321   2.521304    27.58   0.000     64.58239    74.48182
------------------------------------------------------------------------------

. 
. 
. 
. gen dem_dem=.
(1613 missing values generated)

. 
. replace dem_dem=0 if pid_three==0
(463 real changes made)

. 
. replace dem_dem=0 if pid_three==2
(414 real changes made)

. 
. replace dem_dem=1 if pid_three==1 & pid_leg==1
(330 real changes made)

. 
. replace dem_dem=0 if pid_three==1 & pid_leg==2
(360 real changes made)

. 
. 
. 
. gen dem_rep=.
(1613 missing values generated)

. 
. replace dem_rep=0 if pid_three==0
(463 real changes made)

. 
. replace dem_rep=0 if pid_three==2
(414 real changes made)

. 
. replace dem_rep=1 if pid_three==1 & pid_leg==2
(360 real changes made)

. 
. replace dem_rep=0 if pid_three==1 & pid_leg==1
(330 real changes made)

. 
. 
. 
. gen rep_rep=.
(1613 missing values generated)

. 
. replace rep_rep=0 if pid_three==0
(463 real changes made)

. 
. replace rep_rep=0 if pid_three==1
(690 real changes made)

. 
. replace rep_rep=1 if pid_three==2 & pid_leg==2
(207 real changes made)

. 
. replace rep_rep=0 if pid_three==2 & pid_leg==1
(207 real changes made)

. 
. 
. 
. gen rep_dem=.
(1613 missing values generated)

. 
. replace rep_dem=0 if pid_three==0
(463 real changes made)

. 
. replace rep_dem=0 if pid_three==1
(690 real changes made)

. 
. replace rep_dem=1 if pid_three==2 & pid_leg==1
(207 real changes made)

. 
. replace rep_dem=0 if pid_three==2 & pid_leg==2
(207 real changes made)

. 
. 
. 
. gen pair=.
(1613 missing values generated)

. 
. replace pair=0 if pid_three==0
(463 real changes made)

. 
. replace pair=1 if pid_three==1 & pid=="D"
(330 real changes made)

. 
. replace pair=2 if pid_three==1 & pid=="R"
(360 real changes made)

. 
. replace pair=3 if pid_three==2 & pid=="R"
(207 real changes made)

. 
. replace pair=4 if pid_three==2 & pid=="D"
(207 real changes made)

. 
. 
. 
. **Table A11 Column 1

. 
. reg control_rating c.grant_draw i.pid_three i.pair
note: 2.pair omitted because of collinearity
note: 4.pair omitted because of collinearity

      Source |       SS       df       MS              Number of obs =     751
-------------+------------------------------           F(  5,   745) =    8.81
       Model |  21513.5008     5  4302.70015           Prob > F      =  0.0000
    Residual |  363824.768   745  488.355394           R-squared     =  0.0558
-------------+------------------------------           Adj R-squared =  0.0495
       Total |  385338.269   750  513.784359           Root MSE      =  22.099

------------------------------------------------------------------------------
control_ra~1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |  -.4096845   .2862754    -1.43   0.153     -.971687     .152318
             |
   pid_three |
          1  |  -1.077455   2.184448    -0.49   0.622    -5.365862    3.210952
          2  |   9.644809   2.691514     3.58   0.000     4.360955    14.92866
             |
        pair |
          1  |   6.287876   2.424249     2.59   0.010     1.528703    11.04705
          2  |  (omitted)
          3  |   4.076714     3.2339     1.26   0.208    -2.271928    10.42536
          4  |  (omitted)
             |
       _cons |   67.12948   2.091582    32.10   0.000     63.02339    71.23558
------------------------------------------------------------------------------

. 
. 
. **Table A12 Column 1

. 
. reg control_rating c.grant_draw##i.pair

      Source |       SS       df       MS              Number of obs =     751
-------------+------------------------------           F(  9,   741) =    5.56
       Model |  24386.6662     9  2709.62958           Prob > F      =  0.0000
    Residual |  360951.603   741  487.114174           R-squared     =  0.0633
-------------+------------------------------           Adj R-squared =  0.0519
       Total |  385338.269   750  513.784359           Root MSE      =  22.071

------------------------------------------------------------------------------
control_ra~1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |  -.7548987   .4989914    -1.51   0.131    -1.734504    .2247065
             |
        pair |
          1  |   8.547855   4.778897     1.79   0.074    -.8339356    17.92965
          2  |  -7.230039   4.427785    -1.63   0.103    -15.92254    1.462459
          3  |   9.351745   5.539433     1.69   0.092    -1.523107     20.2266
          4  |   5.923504   5.628766     1.05   0.293    -5.126723    16.97373
             |
        pair#|
c.grant_draw |
          1  |  -.6379816   .8004971    -0.80   0.426    -2.209494    .9335308
          2  |   1.237846   .7676856     1.61   0.107    -.2692515    2.744944
          3  |   .8916986   .9954776     0.90   0.371    -1.062594    2.845991
          4  |   .7344435    .987066     0.74   0.457    -1.203335    2.672223
             |
       _cons |   68.92757   2.983445    23.10   0.000     63.07056    74.78458
------------------------------------------------------------------------------

. 
. 
. 
. 
. 
. **Expand to stack responses

. 
. expand 3
(3226 observations created)

. 
. 
. 
. sort responseid

. 
. ***Create round variable

. 
. egen wave=fill(1 2 3 1 2 3)

. 
. 
. 
. ***Create rating by round

. 
. gen experiment_rating=.
(4839 missing values generated)

. 
. 
. 
. replace experiment_rating= treatment_rating1_1 if wave==1
(816 real changes made)

. 
. replace experiment_rating= treatment_rating2_1 if wave==2
(817 real changes made)

. 
. replace experiment_rating= treatment_rating3_1 if wave==3
(816 real changes made)

. 
. 
. 
. **Create context by round

. 
. gen experiment_context=.
(4839 missing values generated)

. 
. 
. 
. replace experiment_context= context1_num if wave==1
(1571 real changes made)

. 
. replace experiment_context= context2_num if wave==2
(1571 real changes made)

. 
. replace experiment_context= context3_num if wave==3
(1571 real changes made)

. 
. 
. 
. **Categorical context by round

. 
. gen less_context=.
(4839 missing values generated)

. 
. replace less_context=1 if experiment_context<1
(1542 real changes made)

. 
. replace less_context=0 if experiment_context>=1
(3297 real changes made)

. 
. 
. 
. gen equal_context=.
(4839 missing values generated)

. 
. replace equal_context=1 if experiment_context==1
(511 real changes made)

. 
. replace equal_context=0 if experiment_context!=1
(4328 real changes made)

. 
. 
. 
. gen more_context=.
(4839 missing values generated)

. 
. replace more_context=1 if experiment_context>1
(2786 real changes made)

. 
. replace more_context=0 if experiment_context<=1
(2053 real changes made)

. 
. 
. 
. gen context_cat=.
(4839 missing values generated)

. 
. replace context_cat=0 if equal_context==1
(511 real changes made)

. 
. replace context_cat=1 if less_context==1
(1542 real changes made)

. 
. replace context_cat=2 if more_context==1
(2786 real changes made)

. 
. 
. 
. 
. 
. ***Table 1 Column 2

. 
. reg experiment_rating grant_draw experiment_context pid_match i.wave, cl(responseid)

Linear regression                                      Number of obs =    2446
                                                       F(  5,   815) =   23.37
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0404
                                                       Root MSE      =  23.527

                           (Std. Err. adjusted for 816 clusters in responseid)
------------------------------------------------------------------------------
             |               Robust
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |   .0830821   .2290891     0.36   0.717    -.3665921    .5327564
experiment~t |   5.149806   .6859544     7.51   0.000      3.80336    6.496251
   pid_match |   2.810611   .7969035     3.53   0.000     1.246386    4.374836
             |
        wave |
          2  |  -4.551047   .7084834    -6.42   0.000    -5.941714    -3.16038
          3  |  -3.977496   .7593391    -5.24   0.000    -5.467987   -2.487005
             |
       _cons |   60.08694    1.51217    39.74   0.000     57.11874    63.05515
------------------------------------------------------------------------------

. 
. 
. 
. ***Table A10 Column 2

. 
. reg experiment_rating grant_draw experiment_context i.pid_three##i.pid_leg i.wave, cl(responseid)

Linear regression                                      Number of obs =    2446
                                                       F(  9,   815) =   23.79
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0726
                                                       Root MSE      =  23.149

                           (Std. Err. adjusted for 816 clusters in responseid)
------------------------------------------------------------------------------
             |               Robust
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |   .0939632   .2251789     0.42   0.677    -.3480357    .5359622
experiment~t |   5.277784   .6695278     7.88   0.000     3.963582    6.591986
             |
   pid_three |
          1  |   2.947498   2.433792     1.21   0.226    -1.829742    7.724737
          2  |   6.236452   2.545888     2.45   0.015     1.239181    11.23372
             |
   2.pid_leg |  -2.694666   2.876762    -0.94   0.349    -8.341401    2.952069
             |
   pid_three#|
     pid_leg |
        1 2  |  -3.020909   3.614484    -0.84   0.404     -10.1157    4.073886
        2 2  |   8.005661   3.528413     2.27   0.024     1.079813    14.93151
             |
        wave |
          2  |  -4.557472   .7082927    -6.43   0.000    -5.947765    -3.16718
          3  |  -3.979031     .76017    -5.23   0.000    -5.471153    -2.48691
             |
       _cons |   57.74721   2.319697    24.89   0.000     53.19393     62.3005
------------------------------------------------------------------------------

. 
. 
. **Table A11 Column 2

. 
. reg experiment_rating grant_draw experiment_context i.pid_three i.pair i.wave, cl(responseid)
note: 2.pair omitted because of collinearity
note: 4.pair omitted because of collinearity

Linear regression                                      Number of obs =    2446
                                                       F(  8,   815) =   26.45
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0717
                                                       Root MSE      =  23.155

                           (Std. Err. adjusted for 816 clusters in responseid)
------------------------------------------------------------------------------
             |               Robust
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |   .0873068   .2248295     0.39   0.698    -.3540064      .52862
experiment~t |   5.262749   .6715124     7.84   0.000     3.944651    6.580846
             |
   pid_three |
          1  |   -1.42185   2.201189    -0.65   0.518    -5.742518    2.898817
          2  |   7.582367   2.149517     3.53   0.000     3.363124    11.80161
             |
        pair |
          1  |   5.715777   2.184219     2.62   0.009     1.428419    10.00313
          2  |  (omitted)
          3  |   5.311651   2.042551     2.60   0.009     1.302372    9.320931
          4  |  (omitted)
             |
        wave |
          2  |   -4.55767    .708168    -6.44   0.000    -5.947718   -3.167622
          3  |  -3.978811   .7600456    -5.23   0.000    -5.470688   -2.486933
             |
       _cons |   56.45327   1.881365    30.01   0.000     52.76038    60.14616
------------------------------------------------------------------------------

. 
. 
. **Table A12 Column 2

. 
. reg experiment_rating grant_draw experiment_context c.grant_draw##i.pair i.wave, cl(responseid)
note: grant_draw omitted because of collinearity

Linear regression                                      Number of obs =    2446
                                                       F( 12,   815) =   18.08
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0740
                                                       Root MSE      =  23.145

                           (Std. Err. adjusted for 816 clusters in responseid)
------------------------------------------------------------------------------
             |               Robust
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |   .0338268   .4527733     0.07   0.940    -.8549124     .922566
experiment~t |    5.23888   .6697581     7.82   0.000     3.924226    6.553534
  grant_draw |  (omitted)
             |
        pair |
          1  |   4.535284   3.693009     1.23   0.220    -2.713646    11.78421
          2  |   .7357774   4.010986     0.18   0.854    -7.137302    8.608857
          3  |   11.32114    3.45951     3.27   0.001     4.530544    18.11174
          4  |   3.188074   4.614357     0.69   0.490     -5.86935     12.2455
             |
        pair#|
c.grant_draw |
          1  |   -.050917   .6428206    -0.08   0.937    -1.312696    1.210862
          2  |   -.456578   .7015378    -0.65   0.515    -1.833612    .9204558
          3  |   .3154951    .628571     0.50   0.616    -.9183137    1.549304
          4  |   .9263357   .7675228     1.21   0.228    -.5802186     2.43289
             |
        wave |
          2  |  -4.558016   .7088245    -6.43   0.000    -5.949352   -3.166679
          3  |  -3.977494   .7606237    -5.23   0.000    -5.470506   -2.484481
             |
       _cons |   56.75017   2.708233    20.95   0.000     51.43424    62.06611
------------------------------------------------------------------------------

. 
. 
. **Table A13 Column 1

. 
. reg experiment_rating grant_draw c.experiment_context##i.pair i.wave, cl(responseid)

Linear regression                                      Number of obs =    2446
                                                       F( 12,   815) =   22.24
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0750
                                                       Root MSE      =  23.133

                           (Std. Err. adjusted for 816 clusters in responseid)
------------------------------------------------------------------------------
             |               Robust
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |   .0704911   .2249417     0.31   0.754    -.3710421    .5120244
experiment~t |   3.556411   1.381086     2.58   0.010     .8455062    6.267315
             |
        pair |
          1  |    3.06012   3.032361     1.01   0.313    -2.892038    9.012277
          2  |  -2.883393   3.198786    -0.90   0.368    -9.162223    3.395436
          3  |   6.850758   3.182073     2.15   0.032      .604733    13.09678
          4  |   .6731387   3.434997     0.20   0.845    -6.069346    7.415623
             |
        pair#|
          c. |
experiment~t |
          1  |    .896592   2.002858     0.45   0.655    -3.034776     4.82796
          2  |   1.079942   2.056558     0.53   0.600    -2.956831    5.116716
          3  |   4.586026   1.928865     2.38   0.018     .7998973    8.372155
          4  |   5.071875   1.934508     2.62   0.009     1.274671     8.86908
             |
        wave |
          2  |  -4.546763   .7098502    -6.41   0.000    -5.940113   -3.153413
          3  |  -4.053842   .7569266    -5.36   0.000    -5.539597   -2.568087
             |
       _cons |   58.87772   2.307738    25.51   0.000     54.34791    63.40753
------------------------------------------------------------------------------

. 
. 
. 
. 
. 
. **Table 1 Column 3

. 
. reg experiment_rating grant_draw i.less_context i.more_context pid_match i.wave, cl(responseid)

Linear regression                                      Number of obs =    2446
                                                       F(  6,   815) =   35.96
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0712
                                                       Root MSE      =  23.152

                           (Std. Err. adjusted for 816 clusters in responseid)
------------------------------------------------------------------------------
             |               Robust
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |   .0688165   .2272571     0.30   0.762    -.3772617    .5148947
1.less_con~t |  -11.09226   1.401499    -7.91   0.000    -13.84324    -8.34129
1.more_con~t |   1.163066   1.312871     0.89   0.376     -1.41394    3.740072
   pid_match |   3.089419   .7913682     3.90   0.000     1.536059    4.642779
             |
        wave |
          2  |  -4.916432   .6797524    -7.23   0.000    -6.250703    -3.58216
          3  |  -4.142702    .731676    -5.66   0.000    -5.578893    -2.70651
             |
       _cons |   70.16394   1.666883    42.09   0.000     66.89205    73.43583
------------------------------------------------------------------------------

. 
. generate in_ta1_c2_c3 = e(sample)

. ***Table A10 Column 3

. 
. reg experiment_rating grant_draw i.less_context i.more_context i.pid_three##i.pid_leg i.wave i.wave, cl(responseid)

Linear regression                                      Number of obs =    2446
                                                       F( 10,   815) =   31.27
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1033
                                                       Root MSE      =  22.768

                           (Std. Err. adjusted for 816 clusters in responseid)
------------------------------------------------------------------------------
             |               Robust
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |   .0787779    .223483     0.35   0.725    -.3598921     .517448
1.less_con~t |  -10.95211   1.383403    -7.92   0.000    -13.66756   -8.236658
1.more_con~t |   1.458251   1.283285     1.14   0.256    -1.060683    3.977185
             |
   pid_three |
          1  |   3.515699   2.395972     1.47   0.143    -1.187305    8.218702
          2  |   6.197537   2.505349     2.47   0.014      1.27984    11.11524
             |
   2.pid_leg |  -2.331951   2.845994    -0.82   0.413    -7.918292    3.254391
             |
   pid_three#|
     pid_leg |
        1 2  |  -3.934606   3.582783    -1.10   0.272    -10.96718    3.097965
        2 2  |    8.21892   3.493889     2.35   0.019     1.360838      15.077
             |
        wave |
          2  |  -4.933518   .6791945    -7.26   0.000    -6.266695   -3.600341
          3  |  -4.152968   .7323757    -5.67   0.000    -5.590533   -2.715403
             |
       _cons |   67.54707   2.432514    27.77   0.000     62.77234     72.3218
------------------------------------------------------------------------------

. 
. **Table A11 Column 3

. 
. reg experiment_rating grant_draw i.less_context i.more_context i.pid_three i.pair i.wave, cl(responseid)
note: 2.pair omitted because of collinearity
note: 4.pair omitted because of collinearity

Linear regression                                      Number of obs =    2446
                                                       F(  9,   815) =   34.76
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1026
                                                       Root MSE      =  22.772

                           (Std. Err. adjusted for 816 clusters in responseid)
------------------------------------------------------------------------------
             |               Robust
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |   .0730091    .223187     0.33   0.744      -.36508    .5110982
1.less_con~t |  -10.99757   1.382855    -7.95   0.000    -13.71195   -8.283192
1.more_con~t |   1.417713   1.286046     1.10   0.271    -1.106641    3.942066
             |
   pid_three |
          1  |  -1.585642   2.176099    -0.73   0.466    -5.857062    2.685777
          2  |   7.361656   2.134751     3.45   0.001     3.171398    11.55191
             |
        pair |
          1  |   6.267145   2.170327     2.89   0.004     2.007055    10.52723
          2  |  (omitted)
          3  |   5.889273   2.028066     2.90   0.004     1.908425     9.87012
          4  |  (omitted)
             |
        wave |
          2  |  -4.932877   .6790957    -7.26   0.000    -6.265859   -3.599894
          3  |  -4.151965   .7323014    -5.67   0.000    -5.589384   -2.714546
             |
       _cons |   66.44653   2.078149    31.97   0.000     62.36738    70.52569
------------------------------------------------------------------------------

. 
. **Table A12 Column 3

. 
. reg experiment_rating grant_draw i.less_context i.more_context c.grant_draw##i.pair i.wave, cl(responseid)
note: grant_draw omitted because of collinearity

Linear regression                                      Number of obs =    2446
                                                       F( 13,   815) =   24.54
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1052
                                                       Root MSE      =  22.757

                           (Std. Err. adjusted for 816 clusters in responseid)
------------------------------------------------------------------------------
             |               Robust
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |  -.0019663   .4488565    -0.00   0.997    -.8830172    .8790847
1.less_con~t |  -11.04105   1.382267    -7.99   0.000    -13.75427   -8.327827
1.more_con~t |   1.364272   1.280982     1.07   0.287    -1.150141    3.878685
  grant_draw |  (omitted)
             |
        pair |
          1  |   4.957919   3.660304     1.35   0.176    -2.226815    12.14265
          2  |   .4717628     3.9537     0.12   0.905    -7.288873    8.232398
          3  |   11.26474   3.388201     3.32   0.001     4.614111    17.91537
          4  |   2.719458   4.530067     0.60   0.548    -6.172515    11.61143
             |
        pair#|
c.grant_draw |
          1  |  -.0585246   .6407584    -0.09   0.927    -1.316256    1.199207
          2  |  -.4362926   .6961997    -0.63   0.531    -1.802848    .9302633
          3  |   .3987304   .6226165     0.64   0.522    -.8233904    1.620851
          4  |   .9776265    .753068     1.30   0.195    -.5005547    2.455808
             |
        wave |
          2  |  -4.931701    .679742    -7.26   0.000    -6.265952   -3.597449
          3  |  -4.149369   .7328496    -5.66   0.000    -5.587864   -2.710874
             |
       _cons |   66.86072   2.780751    24.04   0.000     61.40244      72.319
------------------------------------------------------------------------------

. 
. ***Table A13, Column 2

. 
. reg experiment_rating grant_draw i.less_context##i.pair i.more_context##i.pair i.wave, cl(responseid)

Linear regression                                      Number of obs =    2446
                                                       F( 17,   815) =   20.27
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.1046
                                                       Root MSE      =  22.783

                           (Std. Err. adjusted for 816 clusters in responseid)
------------------------------------------------------------------------------
             |               Robust
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |   .0706469   .2232739     0.32   0.752    -.3676128    .5089065
1.less_con~t |  -11.97346   2.744893    -4.36   0.000    -17.36135    -6.58557
             |
        pair |
          1  |   2.599621   3.520874     0.74   0.461    -4.311428     9.51067
          2  |  -4.028826   4.080137    -0.99   0.324    -12.03764    3.979989
          3  |   11.23499   3.882972     2.89   0.004     3.613186    18.85679
          4  |    5.91418   3.870209     1.53   0.127    -1.682571    13.51093
             |
less_context#|
        pair |
        1 1  |   3.206449   3.862781     0.83   0.407    -4.375723    10.78862
        1 2  |   2.413111   4.359681     0.55   0.580    -6.144416    10.97064
        1 3  |   .1260528   4.210837     0.03   0.976    -8.139311    8.391416
        1 4  |  -1.921053    4.48239    -0.43   0.668    -10.71944    6.877336
             |
1.more_con~t |  -.5441591   2.483019    -0.22   0.827    -5.418025    4.329707
             |
more_context#|
        pair |
        1 1  |   1.727161   3.596667     0.48   0.631    -5.332661    8.786982
        1 2  |   2.937459   4.117616     0.71   0.476    -5.144924    11.01984
        1 3  |   3.686399   3.814829     0.97   0.334    -3.801648    11.17445
        1 4  |   3.420271   3.890822     0.88   0.380    -4.216941    11.05748
             |
        wave |
          2  |  -4.896138   .6824859    -7.17   0.000    -6.235775     -3.5565
          3  |  -4.130915   .7316946    -5.65   0.000    -5.567143   -2.694687
             |
       _cons |    67.8714   2.766871    24.53   0.000     62.44037    73.30243
------------------------------------------------------------------------------

. 
. 
. ***Table A17 Column1

. 
. reg experiment_rating grant_draw c.experiment_context pid_match i.wave if less_context==1, cl(responseid) 

Linear regression                                      Number of obs =     781
                                                       F(  5,   597) =   16.66
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0911
                                                       Root MSE      =  22.358

                           (Std. Err. adjusted for 598 clusters in responseid)
------------------------------------------------------------------------------
             |               Robust
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |   .1454133   .2976681     0.49   0.625    -.4391907    .7300173
experiment~t |   14.99443   4.192828     3.58   0.000     6.759948    23.22892
   pid_match |    3.80084    1.06735     3.56   0.000     1.704624    5.897057
             |
        wave |
          2  |  -11.57215   1.796951    -6.44   0.000    -15.10127   -8.043039
          3  |  -12.82467    1.83148    -7.00   0.000     -16.4216   -9.227748
             |
       _cons |   52.70469   3.435137    15.34   0.000     45.95827    59.45111
------------------------------------------------------------------------------

. 
. ***Table A17 Column 2

. 
. reg experiment_rating grant_draw c.experiment_context pid_match i.wave if more_context==1, cl(responseid) 

Linear regression                                      Number of obs =    1390
                                                       F(  5,   790) =    2.27
                                                       Prob > F      =  0.0456
                                                       R-squared     =  0.0107
                                                       Root MSE      =  23.641

                           (Std. Err. adjusted for 791 clusters in responseid)
------------------------------------------------------------------------------
             |               Robust
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |   .0042584   .2852982     0.01   0.988    -.5557738    .5642907
experiment~t |   .5188776   .8716818     0.60   0.552    -1.192209    2.229964
   pid_match |     2.6331   .9466816     2.78   0.006     .7747915    4.491409
             |
        wave |
          2  |  -1.142969   1.134877    -1.01   0.314      -3.3707    1.084763
          3  |   1.241124   1.269131     0.98   0.328    -1.250144    3.732393
             |
       _cons |   67.58523   2.129471    31.74   0.000     63.40514    71.76532
------------------------------------------------------------------------------

. 
. ***Table A17 Column 3

. 
. reg experiment_rating grant_draw i.less_context##c.experiment_context pid_match i.wave if more_context==1 | less_context==1, cl(responseid)

Linear regression                                      Number of obs =    2171
                                                       F(  7,   815) =   28.62
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0769
                                                       Root MSE      =  23.349

                           (Std. Err. adjusted for 816 clusters in responseid)
------------------------------------------------------------------------------
             |               Robust
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |   .0748556   .2383586     0.31   0.754    -.3930134    .5427247
1.less_con~t |  -21.01344   3.532687    -5.95   0.000    -27.94768   -14.07921
experiment~t |   .3448592   .8738929     0.39   0.693    -1.370487    2.060205
             |
less_context#|
          c. |
experiment~t |
          1  |   12.48255   4.244949     2.94   0.003     4.150224    20.81487
             |
   pid_match |   3.096124   .8206141     3.77   0.000     1.485358     4.70689
             |
        wave |
          2  |   -5.05381   .8165343    -6.19   0.000    -6.656568   -3.451052
          3  |  -3.925743   .8486013    -4.63   0.000    -5.591444   -2.260041
             |
       _cons |   70.66028   2.020415    34.97   0.000     66.69445    74.62611
------------------------------------------------------------------------------

. 
. outreg2 using "C:\Users\ptucker\Documents\Slope_diff.doc", word append
file C:\Users\ptucker\Documents\Slope_diff.txt could not be opened
r(603);

. 
. 
. 
. 
. 
. ******Summary statistics for in sample cases for Table 1, column 2&3

. 
. sum experiment_rating grant_draw pid_match  experiment_context less_context more_context pid_match wave if in_ta1_c2_c3==1

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
experiment~g |      2446    64.64268    23.99342          0        100
  grant_draw |      2446    4.861342    2.965317    .010268   9.979929
   pid_match |      2446    .0147179    .8429838         -1          1
experiment~t |      2446    1.350347    .7245624         .5          3
less_context |      2446    .3192968    .4662995          0          1
-------------+--------------------------------------------------------
more_context |      2446    .5682747    .4954179          0          1
   pid_match |      2446    .0147179    .8429838         -1          1
        wave |      2446           2    .8164966          1          3

. 
. 
. 
. 
. 
. ***Table A15, Column 1

. 
. reg experiment_rating grant_draw c.experiment_context##i.pid_three pid_match i.wave, cl(responseid)

Linear regression                                      Number of obs =    2446
                                                       F(  9,   815) =   28.83
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0750
                                                       Root MSE      =  23.119

                           (Std. Err. adjusted for 816 clusters in responseid)
------------------------------------------------------------------------------
             |               Robust
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |   .0704763   .2250261     0.31   0.754    -.3712227    .5121754
experiment~t |   3.556403   1.380239     2.58   0.010     .8471612    6.265645
             |
   pid_three |
          1  |    .093748   2.630196     0.04   0.972    -5.069008    5.256504
          2  |    3.76553   2.735639     1.38   0.169    -1.604199    9.135258
             |
   pid_three#|
          c. |
experiment~t |
          1  |   .9858566   1.735655     0.57   0.570    -2.421024    4.392737
          2  |    4.83177   1.675635     2.88   0.004       1.5427    8.120839
             |
   pid_match |   2.815546   .7756397     3.63   0.000     1.293059    4.338032
             |
        wave |
          2  |  -4.546536   .7090197    -6.41   0.000    -5.938256   -3.154816
          3  |  -4.055023   .7556808    -5.37   0.000    -5.538333   -2.571713
             |
       _cons |   58.87812   2.306994    25.52   0.000     54.34977    63.40647
------------------------------------------------------------------------------

. 
. ***Table A15 Column 2

. 
. reg experiment_rating grant_draw c.experiment_context##i.college_grad pid_match i.wave, cl(responseid)

Linear regression                                      Number of obs =    2446
                                                       F(  7,   815) =   17.52
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0428
                                                       Root MSE      =  23.509

                           (Std. Err. adjusted for 816 clusters in responseid)
------------------------------------------------------------------------------
             |               Robust
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |   .0712431   .2294931     0.31   0.756    -.3792242    .5217104
experiment~t |   3.509821   1.131135     3.10   0.002      1.28954    5.730101
1.college_~d |   -2.32442   2.205263    -1.05   0.292    -6.653085    2.004245
             |
college_grad#|
          c. |
experiment~t |
          1  |   2.703789   1.419615     1.90   0.057    -.0827444    5.490321
             |
   pid_match |   2.784897   .7985687     3.49   0.001     1.217404    4.352391
             |
        wave |
          2  |  -4.545748   .7098425    -6.40   0.000    -5.939083   -3.152413
          3  |  -4.061076   .7638449    -5.32   0.000    -5.560411   -2.561741
             |
       _cons |   61.60208   2.034264    30.28   0.000     57.60906    65.59509
------------------------------------------------------------------------------

. 
. generate in_ta2_c1_c2 = e(sample)

. 
. ******Summary statistics for in sample cases for Table 2, column 1&2

. 
. sum experiment_rating grant_draw pid_match experiment_context pid_three college_grad pid_match wave if in_ta2_c1_c2==1

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
experiment~g |      2446    64.64268    23.99342          0        100
  grant_draw |      2446    4.861342    2.965317    .010268   9.979929
   pid_match |      2446    .0147179    .8429838         -1          1
experiment~t |      2446    1.350347    .7245624         .5          3
   pid_three |      2446    .9881439    .7530867          0          2
-------------+--------------------------------------------------------
college_grad |      2446     .572363     .494837          0          1
   pid_match |      2446    .0147179    .8429838         -1          1
        wave |      2446           2    .8164966          1          3

. 
. ***Table a15, column 3

. 
. reg experiment_rating c.grant_draw c.experiment_context##c.ideo7 pid_match i.wave, cl(responseid)

Linear regression                                      Number of obs =    2428
                                                       F(  7,   809) =   33.67
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.0938
                                                       Root MSE      =  22.913

                           (Std. Err. adjusted for 810 clusters in responseid)
------------------------------------------------------------------------------
             |               Robust
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |   .0436036   .2251529     0.19   0.846    -.3983492    .4855564
experiment~t |   1.484992   1.697672     0.87   0.382    -1.847369    4.817352
       ideo7 |   1.681362   .6331802     2.66   0.008     .4384926    2.924232
             |
          c. |
experiment~t#|
     c.ideo7 |    .997807   .3789138     2.63   0.009     .2540369    1.741577
             |
   pid_match |    2.77006   .7718834     3.59   0.000      1.25493    4.285191
             |
        wave |
          2  |  -4.605216   .7119332    -6.47   0.000    -6.002671   -3.207762
          3  |  -4.047736   .7603923    -5.32   0.000    -5.540311   -2.555162
             |
       _cons |   54.43361   2.753178    19.77   0.000      49.0294    59.83783
------------------------------------------------------------------------------

. 
. generate in_ta2_c1_c3 = e(sample)

. 
. ******Summary statistics for in sample cases for Table 2, column 3

. 
. sum experiment_rating grant_draw pid_match experiment_context ideo7 pid_match wave if in_ta2_c1_c3==1

    Variable |       Obs        Mean    Std. Dev.       Min        Max
-------------+--------------------------------------------------------
experiment~g |      2428    64.63756    24.03504          0        100
  grant_draw |      2428    4.865304    2.964911    .010268   9.979929
   pid_match |      2428     .014827    .8446409         -1          1
experiment~t |      2428    1.350865    .7255983         .5          3
       ideo7 |      2428    3.569605    1.793321          1          7
-------------+--------------------------------------------------------
   pid_match |      2428     .014827    .8446409         -1          1
        wave |      2428           2    .8164966          1          3

. 
. 
. 
. 
. 
. 
. 
. ***fixed effect model

. 
. 
. 
.  xtset dummy wave
       panel variable:  dummy (strongly balanced)
        time variable:  wave, 1 to 3
                delta:  1 unit

. 
. **Table A14 Column 1

. 
. xtreg experiment_rating grant_draw experiment_context i.wave, fe
note: grant_draw omitted because of collinearity

Fixed-effects (within) regression               Number of obs      =      2449
Group variable: dummy                           Number of groups   =       817

R-sq:  within  = 0.1181                         Obs per group: min =         2
       between = 0.0006                                        avg =       3.0
       overall = 0.0304                                        max =         3

                                                F(3,1629)          =     72.70
corr(u_i, Xb)  = -0.0390                        Prob > F           =    0.0000

------------------------------------------------------------------------------
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |  (omitted)
experiment~t |   6.266418   .4767426    13.14   0.000     5.331325    7.201511
             |
        wave |
          2  |  -4.523613   .7363538    -6.14   0.000    -5.967913   -3.079313
          3  |  -3.993803   .7367072    -5.42   0.000    -5.438796    -2.54881
             |
       _cons |   59.03595   .8279394    71.30   0.000     57.41201    60.65989
-------------+----------------------------------------------------------------
     sigma_u |  20.277796
     sigma_e |  14.875294
         rho |  .65013884   (fraction of variance due to u_i)
------------------------------------------------------------------------------
F test that all u_i=0:     F(816, 1629) =     5.56           Prob > F = 0.0000

. **Table A14 Column 2

. 
. xtreg experiment_rating grant_draw i.less_context i.more_context i.wave, fe
note: grant_draw omitted because of collinearity

Fixed-effects (within) regression               Number of obs      =      2449
Group variable: dummy                           Number of groups   =       817

R-sq:  within  = 0.1868                         Obs per group: min =         2
       between = 0.0086                                        avg =       3.0
       overall = 0.0585                                        max =         3

                                                F(4,1628)          =     93.50
corr(u_i, Xb)  = -0.0282                        Prob > F           =    0.0000

------------------------------------------------------------------------------
experiment~g |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
  grant_draw |  (omitted)
1.less_con~t |  -9.900814    1.16867    -8.47   0.000    -12.19307   -7.608559
1.more_con~t |   3.416752   1.082945     3.16   0.002     1.292639    5.540866
             |
        wave |
          2  |  -4.967025   .7078389    -7.02   0.000    -6.355395   -3.578654
          3  |  -4.216154    .708439    -5.95   0.000    -5.605702   -2.826606
             |
       _cons |   68.94355   1.049275    65.71   0.000     66.88548    71.00162
-------------+----------------------------------------------------------------
     sigma_u |  20.155739
     sigma_e |  14.288321
         rho |  .66554259   (fraction of variance due to u_i)
------------------------------------------------------------------------------
F test that all u_i=0:     F(816, 1628) =     5.96           Prob > F = 0.0000

. 
. 
. log close
      name:  <unnamed>
       log:  /Users/patricktucker/Documents/log_results_gpt.log
  log type:  text
 closed on:  14 Jan 2021, 15:41:28
-----------------------------------------------------------------------------------------------------------------------------------------------
